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The AI video clipping and editing tool: transcribe, find the best moments, reframe to 9:16, and burn animated captions.

Create ChatGPT Application in seconds

Website, pricing, platforms and company facts side by side.
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| Website | spikereel.com | open-gpt.app |
| Pricing | — | |
| Company | 2026 | — |
| Listed in | — |
In their own words, as submitted to SaaSHub.


SpikeReel is an AI clip studio that takes a raw long video and hands you the whole pipeline: it transcribes the video, scores every moment for viral potential, and cuts the best ones into vertical shorts, captioned, reframed, titled, and ranked. It also builds highlight montages, generates AI...
No description of https://open-gpt.app/ yet.
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As answered by people managing SpikeReel and https://open-gpt.app/.
SpikeReel's answer
Most tools do one thing: they clip, or they caption, or they schedule. SpikeReel does all of it, so you go from a raw recording to ready-to-post clips without stitching five apps together. Two things set it apart. First, it captions and writes titles in the creator's own language and never auto-translates them, so it works for a global audience, not just English. Second, it goes beyond clips: highlight montages, AI video, 4K upscaling, and one-click scheduling to TikTok, Reels, Shorts, and YouTube are all built in. You get more of the workflow, in more languages, for a lower total cost than running several tools.
SpikeReel's answer
SpikeReel does the whole short-form pipeline in one place, not just one slice of it. Paste a long video, podcast, or stream and it transcribes it, scores every moment for viral potential, and cuts the best ones into vertical clips that are captioned, reframed, titled, and ranked. Its standout is captions in the video's own language across every major language and script, including right-to-left, never auto-translated to English, which most clipping tools cannot do. It also builds highlight montages, generates AI video, upscales to 4K, and schedules posts across every platform.
SpikeReel's answer
Creators and teams who record long-form video and need to turn it into short clips at scale: podcasters, streamers, coaches, course creators, marketers, and social media managers. It is especially valuable to creators who publish in languages other than English, since the captions, titles, and hashtags all stay in the content's own language.
SpikeReel's answer
SpikeReel started from a simple frustration: the best clipping tools were built English-first. If you spoke another language, your captions got auto-translated into something you never said, or you were stuck captioning by hand. We set out to build a clip studio that treats every language as a first-class citizen, and then kept going until it covered the whole job: finding the moments, reframing them, captioning them, titling them, and getting them posted. The goal is that one long video should become a week of great short-form, in any language, in minutes.
SpikeReel's answer
Next.js and React for the app, ffmpeg for all video rendering and reframing, Whisper-based speech recognition for transcription, large language models for moment analysis and copy, and server-side canvas rendering for captions and thumbnails. Data is handled with Prisma, and the app runs in Docker.
SpikeReel's answer
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